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ParallelDSM (version 0.3.7)

Parallel Digital Soil Mapping using Machine Learning

Description

Parallel computing, multi-core CPU is used to efficiently compute and process multi-dimensional soil data.This package includes the parallelized 'Quantile Regression Forests' algorithm for Digital Soil Mapping and is mainly dependent on the package 'quantregForest' and 'snowfall'. Detailed references to the R package and the web site are described in the methods, as detailed in the method documentation.

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Version

Install

install.packages('ParallelDSM')

Monthly Downloads

73

Version

0.3.7

License

GPL (>= 2)

Maintainer

Peicong Tang

Last Published

November 16th, 2022

Functions in ParallelDSM (0.3.7)

Sampling test data of the dem

Sampling test data

Black box test function to test whether R package was installed successfully

A function that checks the parallel computation for missing data of RF model.

Parallel computing initialization preparation(This function is not open to users)

ParallelComputing

ParallelComputing Functions

A function that checks the parallel computation for missing data of QRF model.

InsepectionVariable

A function that checks the parallel computation for missing data

For the gap between the predicted value and expected value of the model, the model validates the function

Standardize and normalize data elements

A function that checks the parallel computation for missing data of MLR model.

GetPredictorSubset

calculation function for cutting spatial data (tool function,Not as an open function, only for function calls)

A function that combines the results of parallel cutting into a single file

Sampling test data of the mrrtf

ParallelInit_Test

Data initialization function is the first step to complete parallel training

As a data ParallelIniting function, sets some global variables that are not visible to the user

Sampling test data of the twi

Sampling test data of the procur

Sampling test data of the plancur